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Real-time control strategies for hybrid vehicles issued from optimization algorithm

Abstract : This paper focuses on a mild-hybrid city car (Smart), equipped with a starter-alternator, where the kinetic energy in the braking phases can be recovered to be stored in a supercapacitor, and re-used later via the electric motor. The additional traction power allows to downsize the engine and still fulfill the power requirements. Moreover, the engine can be turned off in idle phases. The optimal control problem of the energy management between the two power sources is solved for given driving cycles by a classical dynamic programming method. From dynamic models of the electric motor and supercapacitor a quasistatic model of the whole system is derived and used in the optimization. The real time control law to be implemented on the vehicle is derived from the resulting optimal control strategies.
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Submitted on : Wednesday, September 11, 2019 - 4:08:57 PM
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  • HAL Id : hal-02284283, version 1




Grégory Rousseau, Antonio Sciarretta, Delphine Sinoquet. Real-time control strategies for hybrid vehicles issued from optimization algorithm. Hybrid and Vehicles Energy Management, Feb 2007, Braunschweig, Germany. ⟨hal-02284283⟩



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